Computer und IT
CISA Certified Information Systems Auditor Practice Tests
IMPROVE YOUR UNDERSTANDING OF EVERY CISA EXAM DOMAIN AND OBJECTIVES TO FURTHER YOUR CAREER IN INFORMATION SECURITY AUDITINGCISA Certified Information Systems Auditor Practice Tests provides essential and practical exam prep for the popular CISA certification. Hundreds of domain-by-domain practice questions cover all of the tested Certified Information Systems Auditor exam objectives, helping you prepare for the test and for the real-world demands of a career in systems audit, security, and control. Just like the real exams, the practice questions written by veteran information security experts Peter Gregory and Mike Chapple cover the information system auditing process, the governance and management of IT, information systems acquisition, development, and implementation, information systems operations and business resilience, and the protection of information assets. These rigorous and realistic practice questions will get you ready whether this is your first role in the industry or if you are experienced and ready to advance your career. By studying the domain-by-domain questions and well as taking the full chapter practice exams, you'll get help in identifying your subject-matter strengths and weaknesses and be ready to shift from topic to topic in an exam-like setting. In the book, you'll get:* Challenging questions designed to advance your understanding and comprehension of all covered exam domains* Questions as similar as possible to the real CISA exam questions* Complimentary access to online version of the same questions to practice your online test-taking skillsPerfect for everyone studying for the CISA Certified Information Systems Auditor certification exam, this book will also benefit IT security professionals seeking to test and improve their skillset. ABOUT THE AUTHORSPETER H. GREGORY, CISA, CISSP, is a career technologist and cybersecurity leader. He is the retired Senior Director of GRC at GCI Communications, where he leads security policy, control frameworks, business continuity, third-party risk management, privacy, information and AI governance, and law enforcement wiretaps. MIKE CHAPPLE, PHD, CISA, CISSP, is a teaching professor of IT, analytics, and operations at the University of Notre Dame. He is a cybersecurity professional and educator with over 25 years experience including as chief information officer of Brand Institute and an information security researcher with the National Security Agency and the U.S. Air Force. Mike is the author of more than 200 books and video courses and provides cybersecurity certification resources at CertMike.com. Introduction xiChapter 1 The Audit Process 1Chapter 2 Governance and Management of IT 19Chapter 3 IT Life Cycle Management 37Chapter 4 IT Service Management and Continuity 57Chapter 5 Information Asset Protection 73Practice Test 1 89Practice Test 2 119Appendix 151Index 245
Information Security and Privacy Quick Reference
A FAST, ACCURATE, AND UP-TO-DATE DESK REFERENCE FOR INFORMATION SECURITY AND PRIVACY PRACTITIONERS EVERYWHEREInformation security and privacy roles demand up-to-date knowledge coming from a seemingly countless number of sources, including several certifications—like the CISM, CIPP, and CISSP—legislation and regulations issued by state and national governments, guidance from local and industry organizations, and even international bodies, like the European Union. The Information Security and Privacy Quick Reference: The Essential Handbook for Every CISO, CSO, and Chief Privacy Officer is an updated, convenient, and accurate desk reference for information privacy practitioners who need fast and easy access to the latest guidance, laws, and standards that apply in their field. This book is the most effective resource for information security professionals who need immediate and correct solutions to common and rarely encountered problems. An expert team of writers—Joe Shelley, James Michael Stewart, and the bestselling technical author, Mike Chapple—draw on decades of combined technology and education experience to deliver organized and accessible coverage of:* Security and Privacy Foundations * Governance, Risk Management, and Compliance* Security Architecture and Design* Identity and Access Management* Data Protection and Privacy Engineering* Security and Privacy Incident Management* Network Security and Privacy Protections* Security Assessment and Testing* Endpoint and Device Security* Application Security* Cryptography Essentials* Physical and Environmental Security* Legal and Ethical Considerations* Threat Intelligence and Cyber Defense* Business Continuity and Disaster RecoveryInformation Security and Privacy Quick Reference is a must-have resource for CISOs, CSOs, Chief Privacy Officers, and other information security and privacy professionals seeking a reliable, accurate, and fast way to answer the questions they encounter at work every single day. Introduction xiii1 SECURITY AND PRIVACY FOUNDATIONS 1Security 101 1Confidentiality, Integrity, and Availability (CIA) 3Disclosure, Alteration, and Destruction (DAD) 4Authentication, Authorization, and Accounting (AAA) 5Privacy in the Modern Era 6Foundational Privacy Principles 8Security and Privacy Frameworks 11Security and Privacy Policies: Creation and Enforcement 14Establishing Security Awareness Programs 16Security Strategies 192 GOVERNANCE, RISK MANAGEMENT, AND COMPLIANCE 23The Role of Governance in Security and Privacy 23Key Regulations and Standards 26Regulatory Compliance 29Building and Managing a Risk Management Framework 32Managing Third-Party Risks and Vendor Assessments 353 SECURITY ARCHITECTURE AND DESIGN 39Principles of Secure Design 39Security Operations Foundations 42Ensuring Confidentiality, Integrity, and Availability 44Understanding Security Models 46Implementing Personnel Security 49Applying Protection Mechanisms 52System Resilience and High Availability 544 IDENTITY AND ACCESS MANAGEMENT 57IAM Core Concepts and Principles 57Authentication Methods and Multifactor Authentication 60Role-Based Access Control Versus Attribute-Based Access Control 62Identity Federation and Single Sign-On 65Zero Trust Architecture for IAM 68Identity Governance Life Cycle 71Access Control Attacks 735 DATA PROTECTION AND PRIVACY ENGINEERING 77Data Classification and Labeling 77Data Masking, Tokenization, and Encryption 80Data Loss Prevention Strategies 82Privacy by Design 85Developing a Privacy Program 87Cross-Border Data Transfers and Legal Implications 90Data Subject Rights and Privacy Request Handling 93Data Retention, Archiving, and Secure Disposal 966 SECURITY AND PRIVACY INCIDENT MANAGEMENT 101Incident Response Planning 101Detection and Triage of Security and Privacy Incidents 104Investigating Incidents 106Communication Plans for Incident Response 110Post-Incident Review and Lessons Learned 113Privacy Breach Notifications and Regulatory Reporting 1177 NETWORK SECURITY AND PRIVACY PROTECTIONS 121Secure Network Components 121Network Segmentation 125System Hardening 128Firewalls and Intrusion Detection/Prevention Systems 130Virtual Private Networks and Secure Access Service Edge 133Secure Wireless Network Management 136Securing the Cloud 139Network Monitoring 1428 SECURITY ASSESSMENT AND TESTING 145Building a Security Assessment and Testing Program 145Vulnerability Management 147Understanding Security Vulnerabilities 150Penetration Testing 153Testing Software 155Training and Exercises 1589 ENDPOINT AND DEVICE SECURITY 163Endpoint Detection and Response 163Network Device Security 166Mobile Device Management 169Understanding Malware 173Malware Prevention 176Patching and Vulnerability Remediation 17810 APPLICATION SECURITY 183Secure Software Development Life Cycle 183DevSecOps and DevOps Integration 187Application Attacks 191Injection Vulnerabilities 192Authorization Vulnerabilities 194Web Application Attacks 196Application Security Controls 198Coding Best Practices 20111 CRYPTOGRAPHY ESSENTIALS 205Core Cryptography Concepts 205Symmetric Cryptography 208Asymmetric Cryptography 210Hash Functions 213Digital Signatures 216Public Key Infrastructure 218Key Management Best Practices 220Cryptographic Attacks 22212 PHYSICAL AND ENVIRONMENTAL SECURITY 227Security and Facility Design 227Physical Access Controls and Monitoring 229Security in Data Centers and Server Rooms 232Environmental Controls 234Implement and Manage Physical Security 23513 LEGAL AND ETHICAL CONSIDERATIONS 237Computer Crime 238Intellectual Property Laws 241Software Licensing Laws 243Import/Export Laws 244Privacy Laws 246Compliance 249Ethical Considerations 25014 THREAT INTELLIGENCE AND CYBER DEFENSE 253Threat Actors 253Threat Vectors 256Threat Intelligence 258Threat Feeds 259Threat Hunting 262Assessing Threat Intelligence 263Cyber Kill Chain and the MITRE ATT&CK 26515 BUSINESS CONTINUITY AND DISASTER RECOVERY 269Project Scope and Planning 270Conducting Business Impact Analysis 273Business Continuity Planning Essentials 277Recovery Planning Essentials 279Disaster Recovery Strategies and Solutions 282Testing and Simulation Exercises 284Index 289
Unlocking Python
A FUN AND PRACTICAL GUIDE TO LEARNING PYTHON WITH A SPECIAL FOCUS ON DATA SCIENCE, WEB SCRAPING, AND WEB APPLICATIONSIn Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you'll need to hone your skills with this popular programming language. You'll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You'll also find:* Key concepts in computer and data science explained from the ground up* Advanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases.* Introductions to some of Python's most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and Pandas* Amusing anecdotes from the trenches of industryPerfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want to apply their technical skill to a new language. RYAN MITCHELL is the author of Unlocking Python (Wiley), Web Scraping with Python (O’Reilly), and multiple courses on LinkedIn Learning including Python Essential Training. She holds a master’s degree in software engineering from Harvard University Extension School and has worked as principal software engineer and data scientist on the search team at the Gerson Lehrman Group for the last six years. PART I: PROGRAMMINGCHAPTER 1: INTRODUCTION TO PROGRAMMING 3Programming as a Career 4Myths About Programmers 4How Computers Work 7A Brief History of Modern Computing 12The Unix Operating System 12Modern Programming 13Talking About Programming Languages 14Problem-Solving as a Programmer 17CHAPTER 2: PROGRAMMING TOOLS 21Shell 21Version Control Systems 25Authenticating with GitHub with SSH Keys 27Integrated Development Environments 33Web Browsers 34CHAPTER 3: ABOUT PYTHON 37The Python Software Foundation 38The Zen of Python 39The Python Interpreter 40The Python Standard Library 41Third-Party Libraries 42Versions and Development 43PART II: PYTHONCHAPTER 4: INSTALLING AND RUNNING PYTHON 47Installing Python 47Windows 48macOS 48Linux 49Installing and Using pip 50Windows 51macOS 51Linux 51Installing and Using Jupyter for IPython files 52Virtual Environments 54Anaconda 56CHAPTER 5: PYTHON QUICKSTART 59Variables 59Data Types 62Operators 67Arithmetic Operators 67Operators and Assignments 69Comparison Operators 70Identity Operators 71Boolean Operators 73Membership Operators 73Control Flow 74If and Else 75For 76While 76Functions 78Classes 80Everything Is an Object 82Data Structures 82Lists 83Dictionaries 84Tuples 86Sets 86Exercises 88CHAPTER 6: LISTS AND STRINGS 91String Operations 91String Methods 92List Operations 95Slicing 97List Comprehensions 100Exercises 103CHAPTER 7: DICTIONARIES, SETS, AND TUPLES 105Dictionaries 105Dictionary Comprehensions 108Reducing to Dictionaries 110Sets 112Tuples 114Exercises 116CHAPTER 8: OTHER TYPES OF OBJECTS 119Other Numbers 119Dates 124Bytes 129Exercises 132CHAPTER 9: ITERABLES, ITERATORS, GENERATORS, AND LOOPS 135Iterables and Iterators 135Generators 137Looping with Pass, Break, Else, and Continue 139Assignment Expressions 143Walrus Operators 143Recursion 144Exercises 148CHAPTER 10: FUNCTIONS 149Positional Arguments and Keyword Arguments 149Functions as First-Class Objects 155Lambda Functions 158Namespaces 160Decorators 163Exercises 168CHAPTER 11: CLASSES 171Static Methods and Attributes 173Inheritance 175Multiple Inheritance 178Encapsulation 182Polymorphism 186Exercises 188CHAPTER 12: WRITING CLEANER CODE 189PEP 8 and Code Styles 189Comments and Docstrings 190Documentation 194Linting 196Formatting 199Type Hints 200PART III: ADVANCED TOPICSCHAPTER 13: ERRORS AND EXCEPTIONS 207Handling Exceptions 207Else and Finally 210Raising Exceptions 212Custom Exceptions 214Exception Handling Patterns 217Exercises 223CHAPTER 14: MODULES AND PACKAGES 225Modules 225Import This 228Packages 229Installing Packages 235Exercises 240CHAPTER 15: WORKING WITH FILES 243Reading Files 243Writing Files 247Binary Files 250Buffering Data 252Creating and Deleting Files and Directories 254Serializing, Deserializing, and Pickling Data 256Exercises 259CHAPTER 16: LOGGING 261The Logging Module 261Handlers 266Formatting 269Exercises 272CHAPTER 17: THREADS AND PROCESSES 275How Threads and Processes Work 275Threading Module 276Locking 280Queues 283Multiprocessing Module 285Exercises 292CHAPTER 18: DATABASES 293Installing and Using SQLite 294Installing SQLite 294Using SQLite 296Query Language Syntax 297Using SQLite with Python 300Object Relational Mapping 303Exercises 306CHAPTER 19: UNIT TESTING 307The Unit Testing Framework 309Setting Up and Tearing Down 312Mocking Methods 314Mocking with Side Effects 318PART IV: PYTHON FRAMEWORKSCHAPTER 20: REST APIS AND FLASK 323HTTP and APIs 323Getting Started with Flask Applications 327APIs in Flask 330Databases 333Authentication 336Sessions 338Templates 342CHAPTER 21: DJANGO 345Installing Django and Starting Django 346Databases and Migrations 351Django Admin Interface 353Models 355More Views and Templates 358More Resources 361CHAPTER 22: WEB SCRAPING AND SCRAPY 363Installing and Using Scrapy 364Parsing HTML 366Items 371Crawling with Scrapy 372Item Pipelines 376CHAPTER 23: DATA ANALYSIS WITH NUMPY AND PANDAS 379NumPy Arrays 380Pandas DataFrames 383Cleaning 387Filtering and Querying 391Grouping and Aggregating 393CHAPTER 24: MACHINE LEARNING WITH MATPLOTLIB AND SCIKIT-LEARN 397Types of Machine Learning Models 398Exploratory Analysis with Matplotlib 400Building Supervised Models with Scikit-Learn 409Evaluating Classification Models with Scikit-Learn 415Index 421
Building Generative AI Agents
The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack.Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It’s why the world’s largest technology companies – like Microsoft, Apple, Google, and Meta – are making enormous investments in this category.While chatbots like ChatGPT, Claude, and Gemini have demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users. These agents already exhibit capabilities such as running test suites, searching the web for documentation, writing software, answering questions based on vast organized information, and performing intricate web-based tasks across multiple domains. They can autonomously investigate cybersecurity incidents and address complex customer support needs. By integrating skills, knowledge bases, planning frameworks, memory, and feedback loops, these systems can handle many tasks and improve over time._Building Generative AI Agents_ serves as a high-quality guide for developers to understand when and where AI agents can be useful, their advantages and disadvantages, and practical advice on designing, building, deploying, and monitoring them.WHAT YOU WILL LEARN* The foundational concepts, capabilities, and potential of AI agents.* Recent innovations in large language models that have enabled the development of AI agents.* How to build AI agents for launching a product, creating a financial plan, handling customer service, and using Retrieval Augmented Generation (RAG).* Essential frameworks for building generative AI agents, including AutoGen, LangChain, LangGraph, CrewAI, and Haystack.* Step-by-step guidance on designing, building, and deploying AI agents.* Insights into the future of AI agents and their potential impact on various industries.WHO THIS BOOK IS FORExperienced software developersTOM TAULLI (@TTAULLI) is a consultant to various companies, such as Aisera, a venture-backed generative AI startup. He has written several books like AI Basics and Generative AI. Tom has also taught IT courses for UCLA, PluralSight and O’Reilly Media. For these, he has provided lessons in using Python to create deep learning and machine learning models. He has also taught on topics like NLP (Natural Language Processing).GAURAV DESHMUKH is a highly skilled technology leader with over a decade of experience driving transformative software engineering initiatives. Throughout his career, he has held pivotal technical roles at prominent companies such as Guidewire, Cigna, Home Depot, American Agricultural Laboratory (AmAgLab), Tata Exlsi, and Amdocs. Gaurav's expertise encompasses a range of cutting-edge technologies, including cloud computing, cybersecurity, software automation, data engineering, and full-stack development with various programming languages and web technology frameworks. He employs his vast knowledge to create innovative solutions that optimize workflows and drive business growth. Gaurav holds both an MBA and a Master's degree in Computer Science, with a focus on data warehousing and computer vision. He is dedicated to elevating the strategic role of software engineering in delivering business value. As a distinguished leader, Gaurav can be reached at gauravkdeshmukh89@gmail.com to explore transformative technical initiatives.Chapter 1: Introduction to Generative AI Agents.- Chapter 2: Generative AI Foundations.- Chapter 3: Types of Agents.- Chapter 4: Open AI GPT Agents and the Assistants API.- Chapter 5: Development Agents.- Chapter 6: Crew AI.- Chapter 7: AutoGen.- Chapter 8: LangChain.- Chapter 9: LangGraph.- Chapter 10: Haystack.- Chapter 11: Takeaways.
Clean Apex Code
Many developers excel at building solutions in Apex but lack formal training in the core principles of professional software engineering. This book changes that and provides a no-nonsense guide for experienced Salesforce developers ready to master the art of software design.Pragmatic, approachable, and to the point, this book focuses on essential practices like modularity, coupling, cohesion, and testing—not just to write better code, but to improve how teams deliver software. By emphasizing object-oriented programming, dependency injection, and boundaries, it equips you to design systems that are easier to maintain, test, and scale. With fast, reliable tests as a cornerstone, you’ll learn how great design enables true continuous integration and high-performance software delivery.Through actionable examples and clear explanations, you’ll learn how to design better systems, reduce complexity, and create codebases that stand the test of time. If you’re serious about your craft, _Clean Apex Code_ will give you the tools and mindset to think like a professional software engineer and deliver software at a higher level.WHAT YOU WILL LEARN* Use better names in all software constructs to improve readability and maintainability* Apply core software design principles to Apex development* Embrace modularity, abstraction, and boundaries to simplify complex systems* Leverage dependency injection, and mocking to write fast, modular tests* Practice real continuous integration with reliable, high-speed testingWHO THIS BOOK IS FORExperienced Salesforce developers and professional software engineersPABLO GONZALEZ started his career as a Salesforce developer and later moved into product management, where he focuses on building tools that make life easier for developers. He’s worked on Salesforce DevOps products like HappySoup, Salto, and AutoRABIT, blending his technical skills with his love for solving practical problems.He’s passionate about good software engineering practices and believes the best way to get the most out of Salesforce is to approach it with an engineering mindset. Pablo’s goal is to give Salesforce engineering teams the tools and knowledge they need to succeed — and enjoy their work more.Originally from Costa Rica, Pablo now lives in Ireland with his wife and daughter. He loves trying new foods and sharing good meals with family and friends.Chapter 1: Refactoring Apex code: First steps.- Chapter 2: Naming: Simple Techniques for Better Software Design.- Chapter 3: Doing One Thing: Abstraction, Boolean Parameters, and Design Patterns.- Chapter 4: How long should methods be: length, depth and subtasks.- Chapter 5: Comments don’t lie, developers do.- Chapter 6: Null, validations and guard clauses.- Chapter 7: Cascading failures in trigger boundaries.- Chapter 8: Object-Oriented Programming in Apex.- Chapter 9: Software Design Principles.- Chapter 10: Modularity, Coupling and Cohesion.- Chapter 11: Dependency Injection and Boundaries.- Chapter 12: Unit Tests, Stubs and Mocking the Salesforce Database.- Chapter 13: The Apex Well-Architected Framework.
Microsoft Fabric
Praxisorientierte Einführung für Data Engineers, Data Scientists, Data Analysts, Studierende, angehende Datenexperten und EntscheidungsträgerVon der Datenspeicherung und -verarbeitung über Data Science bis hin zur Datenvisualisierung mit Power BIZahlreiche Visualisierungen und ein durchgängiges Beispielprojekt erleichtern das Verständnis Microsoft Fabric Schritt für Schritt Mit diesem Buch erhalten Sie eine praxisorientierte Einführung in die einzelnen Komponenten der All-in-One-Datenplattform Microsoft Fabric. Es eignet sich sowohl für Einsteiger als auch für Expertinnen und Experten im Datenbereich. Ein grundlegendes Verständnis von Daten sowie erste Erfahrungen mit Python und SQL sind an einigen Stellen von Vorteil. Praktische Einführung anhand eines durchgehenden Beispielprojekts Anhand eines fiktiven Beispiels wird ein komplettes End-to-End-Datenprojekt in Microsoft Fabric umgesetzt, wobei alle relevanten Schritte - von der Datenanbindung über Datentransformationen bis hin zum finalen Dashboard - detailliert erläutert werden. Sie haben die Möglichkeit, alle Schritte selbst umzusetzen und das komplette Beispielprojekt praktisch nachzuvollziehen. Mit anschaulichen Visualisierungen Alle Komponenten von Microsoft Fabric werden anhand einer Reise durch eine fiktive Datenfabrik veranschaulicht und mit zahlreichen Illustrationen visualisiert. Auf diese Weise werden sowohl grundlegende Konzepte als auch Best Practices für die Umsetzung von Datenprojekten mit Microsoft Fabric leicht verständlich erläutert. Aus dem Inhalt Grundlegende Einführung in die wichtigsten KomponentenArbeitsbereich einrichtenDatenexploration (CSV, Excel, XML, JSON)Datenspeicherung mit OneLakeLakehouse und Warehouse für eine Medaillon-ArchitekturData Engineering und OrchestrierungMachine-Learning-Modell für Data Science erstellenDatenanalyse mit SQLDatenvisualisierung mit Power BIÜberwachungshub und Warnungen Zum Download: Alle notwendigen Dateien für das Beispielprojekt Manuel Hanik verfügt über mehrere Jahre Berufserfahrung in den Bereichen Data Science und Data Engineering, Fabian Hanik in den Bereichen Business Intelligence und Data Analytics. Beide Autoren haben bereits mehrere Datenprojekte in der Finanz- und Automobilbranche sowie im E-Commerce umgesetzt. Mit dem Buch möchten sie Microsoft Fabric auf spielerische und unterhaltsame Weise erklären - unterstützt durch visuelle Elemente und symbolische Eselsbrücken, die dem Leser helfen, die Themen besser zu verstehen und zu verinnerlichen.
Informationssicherheit und Datenschutz - einfach und effektiv (2. Auflg.)
Informationssicherheit und Datenschutz – einfach und effektiv, in 2. Auflage aus dem Mai 2025.Die Bedrohungslage und somit die Herausforderungen für Informationssicherheit und Datenschutz nehmen immer weiter zu. Ein handhabbares wirksames und gleichzeitig entlastendes Instrumentarium ist deshalb für jedes Unternehmen unerlässlich. In diesem Buch werden Ihnen die Normen, gesetzlichen Anforderungen und Umsetzungsempfehlungen für Datenschutz und Informationssicherheit aufgezeigt und Sie erhalten Leitfäden und Hilfestellungen zum Aufbau Ihres Managementsystems.Die ISO 27001 gibt als internationale Norm für Informationssicherheit den Rahmen für das Managementsystem vor. Durch direkt nutzbare lean Best- Practices können Sie einfacher Ihre handhabbare Regulatorik ableiten, die sowohl ISO-27001-konform sind als auch den modernisierten IT-Grundschutz abdecken. Wichtig sind insbesondere die Integration mit dem Datenschutz (EU-DSGVO) sowie die Nutzbarkeit auch für andere Anforderungen und Umsetzungsempfehlungen, wie TISAX oder FAIT.Aus dem Inhalt:Anforderungen an Informationssicherheit und Datenschutz (u.a. ISO 27001, IT-Grundschutz und EU-DSGVO)Integriertes Managementsystem für Informationssicherheit und DatenschutzSchritt-für-Schritt-Leitfaden für den Aufbau des ManagementsystemsBest-Practices wie Schutzbedarfsfeststellung, Risikomanagement, Notfallmanagement, ISMS-Reporting und Sicherheits- und DatenschutzorganisationIntegration von Enterprise Architecture Management, IT-Servicemanagement und Informationssicherheit Vorbereiten für eine ISO-27001-ZertifizierungModernisierten IT-Grundschutz nutzenEnterprise Architecture Management und IT-Servicemanagement als Asset-Lieferant nutzenÜber den Autor Inge Hanschke hat in über 35 Berufsjahren als IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und bei verschiedenen IT-Dienstleistern die IT strategisch und an den Geschäftsanforderungen ausgerichtet und das IT-Management professionalisiert. Die langjährigen Erfahrungen münden in die Methode zum Lean IT-Management (siehe www. Hanschke-Consulting.com).
Lean IT-Management - einfach und effektiv (2. Auflg.)
Lean IT-Management – einfach und effektivIn diesem Buch erhalten Sie als IT-Manager oder CIO Best-Practices zur Bewältigung Ihrer Herausforderungen in der Planung und Steuerung der IT an die Hand. Wählen Sie die für Sie relevanten Bausteine für das Enterprise Architecture Management, Prozessmanagement, Demand Management, Projektportfoliomanagement oder die IT-Organisation und die IT-Steuerung aus. Mithilfe der Leitfäden schaffen Sie für sich ein einfaches und gleichzeitig effektives Instrumentarium, um einerseits die IT-Komplexität zu beherrschen und andererseits die Veränderungen und Weiterentwicklung der IT-Landschaft zielgerichtet zu planen und zu steuern.Mit den praktischen Anleitungen und Best-Practices können Sie schnell die für Sie relevanten Quick-wins verwirklichen und Ihr Lean IT-Management-Instrumentarium Schritt für Schritt wertorientiert gestalten und etablieren.Aus dem Inhalt:Lean IT-ManagementIT-Planung IT-SteuerungEAM und UnternehmensarchitekturProzessmanagementDemand ManagementIT-GovernanceGlossar für das IT-ManagementÜber die Autorin: Inge Hanschke hat in über 35 Berufsjahren als IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und bei verschiedenen IT-Dienstleistern die IT strategisch und an den Geschäftsanforderungen ausgerichtet und das IT-Management professionalisiert. Die langjährigen Erfahrungen münden in die Methode zum Lean IT-Management (siehe www. Hanschke-Consulting.com).
Künstliche neuronale Netze
Künstliche neuronale NetzeDieses Lehrbuch bietet eine verständliche Einführung in die Welt der neuronalen Netze, die für ein breites Publikum zugänglich ist. Es erklärt grundlegende Algorithmen und Verfahren, die neuronale Netze antreiben, ohne tiefere mathematische Vorkenntnisse oder Programmiererfahrung vorauszusetzen.Die Leser:innen lernen, wie einfache neuronale Netzwerke aufgebaut, trainiert und getestet werden. Darauf aufbauend werden fortgeschrittene Themen wie Convolutional Neural Networks (CNNs), Autoencoder, autoregressive Modelle und Diffusionsmodelle erläutert. Zahlreiche praktische Beispiele und leicht nachvollziehbare Erklärungen machen das Werk zu einem praxisnahen Lehrbuch für alle, die sich in dieses zukunftsweisende Thema einarbeiten möchten.Über den Autor:Dr. Daniel Scholz ist in der Weiterbildung KI&Data Science bei einem großen deutschen Automobilhersteller tätig und darüber hinaus aktiv im Bereich der schulischen Lehre und Weiterbildung.
Computer für Senioren
Computer für SeniorenComputer einschalten, Buch aufschlagen, loslegen! So einfach kann Ihr Start mit Windows 11 sein. Mit diesem Werk bringen Sie sich alles rund um Ihren neuen PC selbst bei, und das ganz ohne Vorwissen: im Internet surfen, E-Mails schreiben, Fotos bearbeiten, Briefe ausdrucken – der Autor Philip Kiefer zeigt Ihnen alle nötigen Schritte am Bild und kommt ohne komplizierte Fachbegriffe aus. Die Anleitungen eignen sich für PC und Notebook gleichermaßen. So macht der Einstieg in die digitale Welt Spaß!Den Computer einrichten, im Internet surfen, E-Mails schreiben, Fotos ansehen, Geräte anschließen u. v. m.Für PC und NotebookAktuell zu Windows 11Aus dem InhaltAlles problemlos einrichtenSich am Bildschirm zurechtfindenPC und Notebook mit Maus und Touchpad bedienenIm Internet surfenE-Mails schreiben und empfangenKamera und Drucker anschließenFotos verschönern und präsentierenTexte schreiben und ausdruckenSicher sein vor Viren & Co.Texte und Bilder geordnet ablegen und schnell auffindenZum Autor:Philip Kiefer zählt zu den renommiertesten Computer-Fachbuchautoren Deutschlands und zeichnet sich besonders durch sein Talent aus, komplexe technische Inhalte leicht verständlich zu vermitteln.
Unleashing AI
UNLEASHING AI: HARNESSING ARTIFICIAL INTELLIGENCE FOR BUSINESS SUCCESS IS A COMPREHENSIVE GUIDE FOR BUSINESS LEADERS, PROFESSIONALS, AND ENTREPRENEURS LOOKING TO UNDERSTAND AND LEVERAGE THE TRANSFORMATIVE POTENTIAL OF AI TECHNOLOGIES.Unleashing AI is an actionable resource that equips the readers with the knowledge and strategies to harness the power of AI for competitive advantage. This book goes beyond the hype and technical jargon, offering a clear and accessible exploration of AI's applications, implementation challenges, and ethical considerations. It reviews the fundamental concepts of AI, its applications across various business functions, and the ethical considerations associated with its deployment. Through detailed chapters and practical insights, readers will gain a deep understanding of how to integrate AI into their business strategies to drive innovation, efficiency, and competitive advantage.By combining expert insights, and practical frameworks, Unleashing AI empowers readers to navigate the AI landscape, identify opportunities, and develop effective AI strategies aligned with their business goals.
Expert Scripting and Automation for SQL Server DBAs
The market is trending toward a much smaller ratio of DBAs to SQL Server instances, but this book will help you meet this new reality by harnessing automation to continue building and maintaining reliable database platform services for your SQL Server enterprise. The book will help you automate your workload and manage more databases and instances with greater ease and efficiency by combining metadata-driven automation with the power of PowerShell. You'll soon be able to automate your new instance-builds and centralize your maintenance.This book walks you through automating the SQL Server build processes and maintenance of multiple instances from a single location, as well as how to use database metadata to drive your automation. With a heavier focus on PowerShell, this 2nd edition highlights modern techniques, such as configuration management. Also new in this edition, you will learn how to use PowerShell modules such as SqlServer and DBATools, which is a popular community module that you can rely on to keep your database estate running smoothly. You will understand the benefits of centralizing maintenance to better keep your enterprise responding with reliable performance to the loads placed upon it by your business. The book helps you become faster and better at what you do for a living, and thus will boost your value within the job market.WHAT YOU WILL LEARN* Automate SQL Server installation and configuration* Apply techniques such as Desired State Configuration to prevent drift on your servers and instances* Increase your value to your organization by automating low-value tasks and focusing your time on the higher-value ones * Take advantage of database metadata to drive automation, allowing you to build intelligent automated routines* Promote and demonstrate how to modernize database maintenance across your enterprise * Apply tools such as PowerShell with modern techniques to increase your value in the job market WHO THIS BOOK IS FORSQL Server DBAs who want to increase their productivity by embracing automationPETER CARTER is a SQL Server expert with two decades of experience developing, administering, and architecting SQL Server platforms and data-tier applications. Peter was awarded an MCC by Microsoft in 2011, and currently leads a team of platform engineers within a major UK company. His passion for SQL Server shows through in everything he does, and has written a number of SQL Server books (Apress), including _Pro SQL Server 2022 Administration_, _SQL Server Advanced Data Types_, _Securing SQL Server,_ and _SQL Server 2019 AlwaysOn_.1. T-SQL Technique For DBAs.- 2. PowerShell Fundamentals.- 3. PowerShell DSC.- 4. Working With The sqlserver Module.- 5. Working With DbaTools.- 6. Automating Installation.- 7. Metadata Driven Automation.- 8. Building an Inventory Database.- 9. Implementing Configuration Management For SQL Server.- 10. Centralizing Maintenance.- 11. Automating Routine Maintenance and Break/Fix Scenarios.
Scaling Enterprise Solutions with Large Language Models
Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. _Scaling Enterprise Solutions with Large Language Models_ will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.WHAT YOU WILL LEARN* Examine the various phases of an AI Enterprise Applications implementation.* Turn from AI engineer or Data Science to an Intelligent Enterprise Architect.* Explore the seamless integration of AI in Big Data Pipelines.* Manage pivotal elements surrounding model development, ensuring a comprehensive understanding of the complete application lifecycle.* Plan and implement end-to-end large-scale enterprise AI applications with confidence.WHO THIS BOOK IS FOREnterprise Architects, Technical Architects, Project Managers and Senior Developers.Arindam Ganguly is an experienced Data Scientist in one of the leading Multi-National Software Service Firm where he is responsible for developing and designing intelligent solutions leveraging his expertise in Artificial Intelligence and Data Analytics. He has over 8 years of experience delivering enterprise products and applications and has proven skill sets in developing and managing a number of software products with various technical stacks.Arindam also is well-versed in developing automation and hyper-automation solutions leveraging automated workflow engines and integrating them with AI. Additionally, he is the author of _Build and Deploy Machine Learning Solutions using IBM Watson_, which teaches how to build artificial intelligent applications using the popular IBM Watson toolkit.Chapter 1_Machine Learning Primer.- Chapter 2_Natural Language Processing Primer.- Chapter_3: RNN to Transformer and BERT.- Chapter_4: Large Language Models.- Chapter_5: Retrieval Augmented Generation.- Chapter_6: LLM Evaluation and Optimization.- Chapter_7: AI Governance and Responsible AI.- Chapter_8: Adding Intelligence to a Large Enterprise Applications.- Chapter_9: Data Pipelines in Generative AI.- Chapter_10: Putting it all Together.
Metaverse Technologies, Security, and Applications for Healthcare
UNLOCK THE TRANSFORMATIVE POTENTIAL OF THE METAVERSE WITH THIS CRUCIAL BOOK THAT DELVES INTO VITAL INFORMATION, SECURITY CONCERNS, AND INNOVATIVE APPLICATIONS THAT CAN SIGNIFICANTLY ENHANCE PERSONALIZED PATIENT CARE IN A RAPIDLY EVOLVING DIGITAL LANDSCAPE.This book explores insights into information security concerns, preventive measures, and their impact on healthcare applications in the Metaverse. The Metaverse is an amplified virtual world derived from the conjunction of virtual and physical space, where users can interact in an augmented world to meet each other virtually and engage in virtual activities that give authentic practice. The healthcare industry will tremendously benefit from this technology by using it to enhance personalized care for clients. Public health experts believe that while much has been said about the potential of the Metaverse in the entertainment and gaming industry, healthcare is another industry where its impact could be transformational. This volume provides a better understanding of healthcare applications in the Metaverse and why digital information security is of major concern. Recently, the world saw the impacts of the COVID-19 pandemic, which physically stopped mobility. Life is taken care of using digital interactions and the movement of information digitally through the Metaverse. This book explores implementation issues and performance evaluations of emerging technologies, along with research results and networking methods to demonstrate the immense benefits of this emerging technology. Readers will find this book:* Provides comprehensive coverage of the Metaverse, including theoretical modeling of Metaverse architecture and protocols, prospective challenges, and information security;* Explores wide applications of the Metaverse and their relevance in healthcare;* Introduces solutions to real-life problems and the future prospects of the Metaverse.AUDIENCEResearchers, students, educators, and healthcare professionals focused on information communication technologies and their benefits in healthcare. AJAY KUMAR VYAS, PHD is an associate professor and the head of the Information and Communication Technology Department at Adani University, India with over 18 years of teaching and research experience. He is the author of over 50 research papers in peer-reviewed international journals and conferences, books, and many book chapters. His research interests include optical devices, AI applications for optics, and 5G and 6G communication. HARLEEN KAUR, PHD is an associate professor and chief investigator in the School of Engineering Sciences and Technology at Jamia Hamdard and a visiting professor at The World Academy of Sciences in Italy. She has published over 100 publications in refereed journals and conferences. Her key research includes information analytics, applied machine learning, and predictive modeling. SOURABH SHARMA, PHD is an associate professor in the School of Engineering at Avantika University with over 12 years of academic experience. He is a life member of the Soft Computing Research Society and provides his support and guidance as a reviewer in various international journals and conferences. His research expertise includes image processing applications, soft computing using optimization algorithms, and information security and mining. BHAVYA ALANKAR, PHD is an associate professor in the Department of Computer Science and Engineering at Jamia Hamdard with over 20 years of teaching and research experience. He has authored and edited several books on very-large-scale integration, machine learning, and Internet of Things. His research interests include VLSI design, cloud computing, deep learning, and reconfigurable computing. Preface xviiAcknowledgments xxiPART I: METAVERSE TECHNOLOGY 11 INTRODUCTION TO METAVERSE FOR HEALTHCARE 3Amit Sharma1.1 Introduction of Metaverse 31.2 Metaverse in Healthcare 51.3 Potential Uses of Metaverse in Healthcare 61.3.1 Telemedicine and Virtual Consultations 61.3.2 Medical Education and Training 71.3.3 Patient Education and Engagement 101.3.4 Mental Health 111.3.5 Rehabilitation 131.4 Technological Infrastructure 141.4.1 Technologies 151.4.2 Wearable and Hardware 181.5 Benefits and Opportunities 221.5.1 Improved Accessibility 221.5.2 Enhanced Patient Experience 231.5.3 Cost Reduction 241.6 Challenges and Risks 251.6.1 Hardware 251.6.2 Ethical Concerns 251.6.3 Privacy and Data Security 261.6.4 Identity Hacking 261.6.5 Addiction and Mental Health 271.6.6 Regulatory and Legal Issues 271.6.7 Currency and Digital Payment 271.6.8 Technical Challenges 281.7 Metaverse’s Prospects for the Future in Healthcare 281.7.1 Predictions for the Future 281.7.2 Potential Technological Advancements 291.7.3 Long-Term Implications 291.8 Conclusion 30References 302 METAVERSE AND VIRTUAL HEALTHCARE: OPPORTUNITIES AND CHALLENGES 37Diksha Dani, Gaurav Agrawal and Abha Kiran Rajpoot2.1 Introduction 382.2 Metaverse Enabling Technologies 402.2.1 Extended Reality 402.2.2 Blockchain 412.2.3 Internet of Things 412.2.4 Spatial and Edge Computing 422.2.5 3D Modeling and Reconstruction 432.2.6 Brain-Computer Interface 432.2.7 Artificial Intelligence 442.2.8 Advanced Wi-Fi Technology 442.3 Application in Healthcare 452.3.1 Metaverse in Surgeries 452.3.2 Education and Training 472.3.3 Medical Diagnosis and Consultation 482.3.4 Metaverse in Pain Management 482.3.5 Medical Health Data Management 492.4 Limitations and Challenges 492.4.1 Privacy and Security 492.4.2 Health Concerns 502.4.3 Dependence on the Internet 502.4.4 Interoperability 512.4.5 High Cost of Technology 512.4.6 Environmental Impact 522.5 Conclusion 52References 533 INNOVATION AND ACCOUNTABILITY: AN ETHICAL PERSPECTIVE ON METAVERSE HEALTHCARE 57Ajay Sudhir Bale3.1 Introduction 583.2 Methodology 593.2.1 Medical Training Metaverse 603.2.1.1 Osso Vr 633.2.1.2 MediVizor 693.2.2 Virtual Clinical Trials 693.3 Discussion 75Conclusion and Future Scope 77References 784 THE HEALTHCARE METAVERSE: UTILIZATIONS, OBSTACLES, AND PROSPECTS 81Shilpa MahajanIntroduction 81Metaverse 82Metaverse Components 83AR/VR Technologies 83Digital Avatars 843D Virtual Environments 85Blockchain and Cryptocurrencies 85Issues Faced by Healthcare Industries 87Applications of Metaverse in Healthcare Industry 89Limitation of AR/VR in Healthcare 90Challenges of Metaverse in Healthcare 94Future Directions 95Conclusion 96References 965 CREATING THE HEALTHCARE OF TOMORROW: THE METAVERSE’S OPPORTUNITIES AND CHALLENGES 101Vedanshee Upadhyay and Sourabh Sharma5.1 Introduction 1025.2 Analysis: Metaverse and Healthcare 1055.3 Discussion and Synthesis 1105.4 Conclusion 112References 1136 THE ROLE OF METAVERSE, AI, AND 5G IN MODERNIZING HEALTHCARE PLATFORMS 121Baby Chithra R., Salna Joy and Ajay Sudhir Bale6.1 Introduction 1226.1.1 Metaverse 1226.1.2 Ai 1246.1.3 5G and Beyond 1266.2 Application of Metaverse in Healthcare 1286.3 5G and AI Integration with Metaverse 1356.4 Conclusion and Future Scope 140References 1427 METAVERSE MAKEOVER: TRANSFORMING PATIENT CARE AND WELLNESS IN VIRTUAL REALMS 147Ritesh Kumar Jain, Ajay Kumar Vyas, Vishnu Agarwal and Paras Kothari7.1 Introduction 1487.2 The Evolution of Healthcare in Virtual Environments 1507.3 Applications of the Metaverse in Patient Care 1537.4 Improving Healthcare Education and Training 1577.5 Challenges and Considerations 1617.6 Future Directions and Opportunities 1657.7 Conclusion 167References 1698 METAVERSE IN MEDICAL TRAINING AND EDUCATION 173Avnish Bora and Sunil Vyas8.1 Introduction 1748.2 Virtual Reality 1808.3 Augmented Reality 1828.4 The Technology 1858.4.1 Augmented Reality (AR) 1858.4.2 Virtual Reality (VR) 1868.5 Market of AR and VR in Healthcare Practice 1878.6 Case Studies 1928.7 Future Directions 1938.8 Conclusion 195References 195PART II: SECURITY FOR METAVERSE 1999 SECURING HEALTHCARE IN THE METAVERSE: ADVANCE DEEP LEARNING ALGORITHMS FOR NON-TATA PROMOTER CLASSIFICATION IN GENOME SEQUENCING 201Om Varshney, Yashasvi Agrawal, Yashasvi Kanathey, Yoginii Waykole, Om Mishra and Harsh S. Dhiman9.1 Introduction 2029.2 Literature Review 2029.3 Methodology 2059.3.1 Preprocessing 2069.3.2 Sequence Modeling 2069.3.3 Convolutional Models 2069.3.4 Combining Sequence Modeling and Feature Extraction 2079.3.5 WaveNet 2079.4 Experimental Setup 2089.4.1 Data Collection 2089.5 Evaluation Metrics 2099.6 Training Parameters 2099.7 Results and Discussion 2109.7.1 Lstm 2109.7.2 Cnn 2119.7.3 ConvoLSTM 2129.7.4 WaveNet 2139.8 Conclusion 216References 21610 DATA PROTECTION REGULATION FOR E-HEALTH DEVICES 219Satwika Dash, Kumash Patel and Manivel Kandasamy10.1 Introduction to E-Health Devices 22010.1.1 Definition of E-Health Devices 22110.1.2 Scope and Trends in E-Health Devices 22110.1.2.1 Scope of E-Health Devices 22110.1.2.2 Trends in E-Health Devices 22210.1.3 E-Health Devices in Healthcare and Important Roles 22310.1.3.1 Patient Empowerment and Self- Management 22310.1.3.2 Healthcare Provider Efficiency and Effectiveness 22310.1.3.3 Healthcare System Optimization 22410.2 Importance of Data Protection Regulations 22410.2.1 Overview of General Data Protection Regulation (gdpr) 22410.2.2 Health Insurance Portability and Accountability Act (HIPAA) 22510.2.3 Accountability Act and Relevant Regulations (CCPA and PIPEDA) 22510.2.4 Important Guidelines and International Standards 22610.3 Security Principles and Data Privacy 22710.3.1 Overview of Data Minimization 22710.3.2 Data Integrity 22710.3.3 Data Confidentiality 22810.3.4 Transparency and Accountability of Data Privacy 22910.3.4.1 Transparency 22910.3.4.2 Rights of Data Security 23010.4 Regulatory Requirements and Compliance Framework 23110.4.1 Data Preprocessing, Retention, and Storage 23110.4.1.1 Data Preprocessing 23110.4.1.2 Data Retention 23110.4.1.3 Data Storage 23110.4.2 Data-Sharing Access 23210.4.3 Risk Assessment of E-Health Devices 23210.4.4 Data Protection and Privacy 23310.4.5 Security Mechanisms for Regulatory Requirements 23410.5 Data Transfer and Standard Regulations 23510.5.1 Global Data Transfer and Legal Frameworks 23510.5.2 Binding Corporate Rules (BCR) 23610.5.3 Standard Contractual Clauses (SCC) 23710.5.4 Decision-Making for Data Transfer 23810.6 Future Data Protection for the E-Health Sector 23910.6.1 Future Technologies and Impact of the E-Health Sector 23910.6.2 Emerging Technologies in Data Protection 24010.6.2.1 AI and Machine Learning in Data Protection 24210.6.2.2 Role of Blockchain in Data Protection Management 24310.6.2.3 Data Protection Regulatory Evaluation 24410.6.3 Security Measures and Ethical Considerations 24510.6.4 Enhancing the Protection Control over Personal Health Data 24610.6.5 Industry Standards in Data-Sharing Mechanisms 24710.6.6 Future Challenges and Solutions for Data Protection 24810.6.7 Summary of the Data Protection 24910.6.7.1 Applications of Data Privacy and Security in E-Health 25010.6.7.2 Future Trends in Data Protection for E-Health 251References 25311 AN EXTENSIVE REVIEW OF CURRENT CYBERSECURITY TRENDS IN THE HEALTHCARE SECTOR 255Manoj Dhawan and Lalit Purohit11.1 Introduction 25611.2 Related Work 25811.3 Findings from the Review 26611.4 Limitations and Suggestions for Future Research 27011.5 Conclusion 272References 27212 IMPLEMENTATION OF METAVERSE TECHNOLOGIES AND ITS SECURITY 277Manas Tiwari, Kamal Kumar Kushwah, Hameed Khan and Ajay Kumar Vyas12.1 Introduction 27812.2 Unpacking the Metaverse and Its Key Ingredients 28012.2.1 Virtual Reality (VR) 28112.2.2 Augmented Reality (AR) 28112.2.3 Mixed Reality (MR) 28112.2.4 Metaverse Enables in Health Space 28112.2.5 Telemedicine and Remote Consultations 28212.3 Patient Engagement and Therapy in the Metaverse 28312.3.1 Virtual Reality Treatment 28412.3.2 Involved Patients and Personalized Therapy 28512.3.3 Establishing Networks and Communities 28512.4 Case Study for the Global Health Initiative 28612.5 Ethical Factors in VR Therapy 28812.5.1 Informed Consent 28812.5.2 Individualized 28812.5.3 Constant Monitoring 28812.6 Technological Challenges and Solutions 28912.6.1 The Metaverse’s Potential for Healthcare 28912.6.2 Prospective Applications in the Future 29012.6.3 Potential Limitations and Challenges 29212.7 Conclusion 292References 29313 METAVERSE TECHNOLOGIES, SECURITY, AND APPLICATIONS FOR HEALTHCARE 297Shilpi Jindal, Shristi Chaudhary, Shalini Sharma, Meenu Rani and Sonia Bajaj13.1 Introduction to the Metaverse 29813.2 Metaverse Technologies: Back to the Basics and Beyond 29813.2.1 Virtual Reality (VR) and Augmented Reality (AR) 29813.2.2 Blockchain and Decentralized Technologies 29913.2.3 AI and ml 29913.2.4 5G and Edge Computing 29913.2.5 Innovations in Human-Computer Interaction (HCI) 29913.3 Security Challenges in the Metaverse for Healthcare 30013.3.1 Data Privacy and Confidentiality 30013.3.2 Identity Management and Authentication 30013.3.3 Cybersecurity Threats and Attack Vectors 30013.3.4 Data Integrity and Reliability 30113.3.5 Compliance with Regulatory Requirements 301References 30714 LEADING-EDGE KEY MANAGEMENT TECHNIQUES IN THE CRYPTOGRAPHY: THE METAVERSE-DRIVEN STRATEGY 313Devendra Kuril, Manoj Dhawan and Lalit Purohit14.1 Introduction 31414.2 Association of Sections 31514.3 Significant and Consequence of the Leading-Edge Key Management 31514.4 Recommended Approaches 31714.5 An Extremely Efficient Encipher/Decipher Suggested Algorithm 31914.5.1 Essential Key Elements 31914.5.2 Approaches in the Process of Encipher/Decipher 31914.6 Observation and Examination 32114.6.1 Considering an Instance as All Factors Remained Null During Leading-Edge Key Generation 32114.7 Summarization and Future Work 321References 322PART III: APPLICATIONS OF METAVERSE 32515 IMPLEMENTATION OF METAVERSE FOR HEALTHCARE SYSTEM MODELING 327Naureen Afrose, Rideb Chakraborty, Ahana Hazra, Pratibha Bhowmick and Mithun Bhowmick15.1 Introduction 32815.2 Key Technologies of the Metaverse for Healthcare 32915.2.1 Virtual Reality (VR) 32915.2.2 Mixed Reality (MR) 33115.2.3 Extended Reality (XR) 33215.2.4 Augmented Reality (AR) 33415.2.5 Artificial Intelligence (AI) 33515.3 Metaverse Implementation in Healthcare Modeling 33615.3.1 Integrating Healthcare Data Sources: EHRs, Imaging, Demographics, and Facility Layouts 33815.3.2 Patient Pathway Simulation: Optimizing Care Delivery and Patient Flow 34015.3.3 Healthcare Facility Design: Virtual Prototyping for Improved Efficiency 34115.3.4 Epidemiological Forecasting: Simulating Disease Spread and Resource Allocation 34115.4 Benefits of Metaverse for Healthcare System Modeling 34315.4.1 Improved Patient Outcomes 34315.4.2 Better Decision-Making 34415.4.3 Increased Efficiency 34415.5 Challenges and Considerations 34515.6 The Future of Metaverse in Healthcare System Modeling 34615.7 Conclusion 347References 34716 5G SPEEDS FOR METAVERSE HEALTHCARE PROMISES AND CHALLENGES 351Mamta B. Savadatti, Ajay Sudhir Bale, Achyutesh Dixit and Subhashish Tiwari16.1 Introduction 35216.2 5G Network Requirements for Metaverse Healthcare 35416.2.1 Low Latency 35616.2.2 Key Performance Indicators for 5G Healthcare 35716.2.3 High Connection Density 35816.2.4 Reliability 35816.2.5 Architecture of Smart Healthcare System 35916.3 Enabling Metaverse Healthcare Applications with 5G 36116.3.1 Real-Time Patient Monitoring 36216.3.2 High-Fidelity Medical Visualization 36316.3.3 Virtual Collaborative Environments 36416.3.4 Haptic Feedback and Immersion 36516.4 Challenges in 5G Rollout for Healthcare Metaverse 36816.4.1 Network Coverage 36816.4.2 Spectrum Allocation 36916.4.3 Technical Obstacles 37116.5 Risks and Uncertainties 37216.6 Conclusion and Future Directions 373References 37317 INCORPORATING DIGITAL TWIN TECHNOLOGY IN HEALTHCARE: PROSPECTS AND CONSTRAINTS 379Krupa Purohit17.1 Introduction 38017.2 Leveraging Digital Twin Technology to Enhance Patient Care 38117.2.1 Customized Healthcare 38217.2.2 Healthcare Administration and Preventive Treatment 38217.2.3 Training and Planning for Surgery 38317.2.4 Hospital and Healthcare System Administration 38317.3 Prospects and Constraints 38317.3.1 Prospects 38317.3.2 Constraints 38417.4 Healthcare Facilities Utilizing Digital Twins 38517.5 Prospective Avenues for Further Investigation 390References 39118 APPLICATION PERSPECTIVES OF DIGITAL TWIN IN HEALTHCARE USING METAVERSE 393Bablu Kumar Singh and Ajay Kumar Vyas18.1 Introduction 39318.2 Need for Digital Twin for Healthcare 39718.3 Opportunity 39918.4 Applications 39918.5 Metaverse: Challenges and Opportunity 40318.6 Conclusion 404References 40519 OPTIMIZING DHD FOR HEALTHCARE APPLICATIONS IN THE METAVERSE 409Vrunda Patel, Mansvi Patel, Khush Patel and Jignesh Thaker19.1 Introduction 41019.2 Materials Used in Dynamic Holography Display 41119.2.1 Experimental Details 41419.3 How to Train Network Through CNN for the Optimization of Phase-Only Hologram 41619.4 Metaverse Technology in Healthcare with Holographic Display 41919.4.1 Metaverse Interfacing 41919.4.2 Employment of Healthcare Technologies with Metaverse 422References 42720 XAI WITH DIFFERENT METHODS AND APPLICATIONS IN HEALTHCARE 431Mamta Motiramani, Nainsiben Patel and Alok Kumar Singh20.1 Introduction 43220.2 Leveraging Open Data and XAI 43320.2.1 Explainable Open Data 43420.2.2 XAI in Healthcare 43520.3 Knowledge Graph 43620.4 Metaverse Using Immersive Technology 43720.4.1 Technologies for Metaverse Healthcare 43720.5 Deep Learning–Based Medical Image Analysis 43920.6 Dynamic Pruning via XAI 44020.7 Predictive Analytics of Pancreatic Cancer 44120.8 Approach to Interpretable Healthcare Model 44120.9 Challenges 44420.10 Conclusion 446References 446Index 451
ChatGPT & Co. in der Schule
KI als Assistent für LehrkräfteKI-Modelle wie ChatGPT sind bereits Teil des Schulalltags und werden von vielen Schülerinnen und Schülern regelmäßig genutzt. Dieses Buch zeigt Ihnen, wie Sie als Lehrkraft ebenfalls KI praxisnah, produktiv und datenschutzkonform einsetzen können.Praktischer Einsatz im SchulalltagDie Autoren zeigen Ihnen, wie Sie zielführende Anfragen an die KI stellen und so Unterstützung für verschiedene Einsatzzwecke erhalten: von der inhaltlichen Unterrichtsplanung über Vorschläge zu interaktiven Lehrmethoden bis hin zur Korrektur von Texten und Tipps für die Förderung von Schülerinnen und Schülern.Für alle Schulformen und -fächerAlle Praxisbeispiele sind nach Schulformen und -fächern gegliedert, sodass Sie schnell passende Anregungen für Ihren eigenen Unterricht finden. Darüber hinaus werden zentrale Fragen wie die Vermittlung von KI-Kompetenz als Lernziel, moderne Prüfungsformen im KI-Zeitalter sowie ethische Herausforderungen diskutiert.Aus dem Inhalt:Funktionsweise von KIs wie ChatGPTStrategien für den effektiven EinsatzUnterrichtsvorbereitungPrüfungsvorbereitung und KorrigierenEinsatz von KI im UnterrichtPraxisbeispiele für Grundschule, Mittelschule sowie Realschule und GymnasiumKonkrete Beispiele für den Einsatz für verschiedene Fächer: DeutschEnglisch, Spanisch, FranzösischGeschichte & ErdkundeMathematik & NaturwissenschaftenKunst & Musiku.v.m.KI-Kompetenz als LernzielPrüfungsformen undHausaufgaben im KI-ZeitalterRechtliche Aspekte und DatenschutzÜber die Autoren:Barbara Engelke hat ein Staatsexamen in Germanistik und Theologie und arbeitet als Lehrerin sowie Fachbetreuerin für Deutsch an einem bayerischen Gymnasium. Es ist ihr ein Anliegen, in ihrer pädagogischen Tätigkeit junge Menschen an neue Herausforderungen heranzuführen und sie für die Zukunft mit den nötigen Kompetenzen auszustatten.Ulrich Engelke hat das erste Staatsexamen in Germanistik und Anglistik sowie einen Magister mit Schwerpunkt Linguistik. Heute ist er als Unternehmensberater für Onlinemarketing mit Schwerpunkt SEO tätig. Sein besonderes Interesse gilt technischen Innovationen und deren ökonomischen wie gesellschaftlichen Auswirkungen.
Anwendungsbezogenes Projektmanagement
Die Intention dieses Buches ist es, Projektleitern zu helfen handwerkliche Fehler im Projektmanagement zu vermeiden und sie in ihrer Professionalität zu unterstützen. Neben einem ausführlichen IT-Praxisfall sind Mustervorlagen eines Projektauftrags sowie eines Projektabschlussberichts enthalten. Mit der zweiten Auflage wurden die Facetten des Projektmanagements erweitert und um agiles Projektmanagement ergänzt. Gleichzeitig dient das Buch aber auch als Grundlage für Hochschulkurse zum Projektmanagement. Es ist durch die Kombination aus langjähriger, intensiver Projektleitererfahrung sowie akademischer Betrachtung des Themas in Vorlesungen an verschiedenen Universitäten und Hochschulen entstanden.CHRISTIAN BÄR ist Professor für Wirtschaftsinformatik mit Schwerpunkt Projektmanagement und verbindet, als Chief Technology Officer der DATEV eG, die Lehre mit der Praxis.JENS FIEGE ist Geschäftsführer bei der b4value.net GmbH. Er hat umfassende Erfahrungen im klassischen und agilen Projektmanagement und war Lehrbeauftragter der DHBW Mannheim.MARKUS WEIẞ ist als Product Owner bei der DATEV eG für die Steuerung eines Softwareentwicklungsbereichs verantwortlich und daneben als Dozent tätig.MARTIN ERTEL ist als Projektleiter für den Aufbau eines Entwicklungsstandorts in Polen und als Staffing Manager für das Staffing von Entwicklungsprojekten bei der DATEV eG verantwortlich.Teil I: Pragmatische und methodische Vorgehensweise.-Begriffsbestimmungen und Definitionen.- Projektwürdigkeitsanalyse.- Projektorganisation und Durchführung.- SMART formulierter Projektauftrag.- Rahmenbedingungen für die Projektsteuerung.- Projektkoordination.- Projektcontrolling.- Projektabschluss.- Teil II: Praxisfall.- Das Softwareprojekt bei der Muster GmbH.- Index.
Artificial Intelligence in Remote Sensing for Disaster Management
INVEST IN ARTIFICIAL INTELLIGENCE IN REMOTE SENSING FOR DISASTER MANAGEMENT TO GAIN INVALUABLE INSIGHTS INTO CUTTING-EDGE AI TECHNOLOGIES AND THEIR TRANSFORMATIVE ROLE IN EFFECTIVELY MONITORING AND MANAGING NATURAL DISASTERS.Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications. NEELAM DAHIYA, PHD is an assistant professor in the Department of Computer Applications at Chitkara University, Punjab, India. She has authored over ten articles in international journals and filed more than ten patents with the Indian Patent Office, five of which were granted. She has also reviewed various articles for renowned journals and conferences. Her research interests include remote sensing, digital image processing, deep learning, and hyperspectral imaging. GURWINDER SINGH, PHD is an associate professor at the Institute of Computing at Chandigarh University, India. He has internationally published over 35 articles, conference papers, and book chapters, as well as one patent. He also serves as a member of the International Society for Photogrammetry and Remote Sensing and the Indian Society of Remote Sensing. His research interests include remote sensing, digital image processing, agricultural land use classification, machine learning, and deep learning. SARTAJVIR SINGH, PHD is a professor and the Associate Director for the University Institute of Engineering at Chandigarh University, Punjab, India. He has filed over 50 patents with the Indian Patent Office, with over half granted. He has authored over 50 articles in international journals and edited various proceedings for conferences and symposia in addition to serving as an editor for several international journals. His research interests include electronics, remote sensing, and digital image processing. APOORVA SHARMA is a digital analyst and assistant professor in the Department of Computer Science and Engineering, Chandigarh University, Punjab, India. She has published three articles in internationally reputed journals and conferences and contributed to innovative wearable and geospatial technologies. Her research interests include remote sensing, digital image processing, agriculture and cryosphere studies, machine learning, and deep learning.
3D-Spiele programmieren mit Unity
Komplette 2D- und 3D-Spiele Schritt für Schritt entwickelnFiguren animieren sowie Landschaften und Gebäude gestaltenSpielend programmieren lernen für Einsteiger Ganz einfach eigene 3D-Spiele entwickeln Hans-Georg Schumann zeigt detailliert und leicht verständlich, wie Einsteiger mit der beliebten Spiele-Engine Unity eigene 3D-Spiele entwickeln können. Folgen Sie dem Autor Schritt für Schritt, wie verschiedene Elemente eines 3D-Spiels erstellt werden: sowohl 2D- als auch 3D-Landschaften und Bauwerke, verschiedenste Charaktere mit diversen Eigenschaften und Bewegungsfähigkeiten, Features wie Sound und Effekte u.v.m. Landschaften und Charaktere entwerfen Sie beginnen mit einem kleinen Jump & Run-Spiel in 2D und lernen dann Schritt für Schritt, eigene Spielwelten in 3D zu erschaffen. Dabei erfahren Sie, wie man Landschaften mit Vegetation und Seen gestaltet. Außerdem bauen Sie einfache Gebäude und erschaffen einen Gegner, den Sie animieren und der mit der Zeit todbringende Eigenschaften erhält. Dabei eignen Sie sich ganz nebenbei das Programmieren in C# an und lernen alle Bausteine kennen, um eigene Ideen umzusetzen. Realitätsnah mit hervorragenden Effekten Das Unity-Entwicklungssystem erzeugt tolle Effekte, die dem Spiel das nötige Reality-Gefühl geben. Alles, was Sie zum Programmieren Ihrer Projekte benötigen, gibt es als Paket zum kostenlosen Download. Aus dem Inhalt: Unity starten und ein erstes kleines Spiel in 2D erstellenIn die Script-Programmierung mit C# einsteigenEinen Charakter entwerfen und ihm Eigenschaften gebenEin Jump & Run-Spiel entwickelnDas Prinzip von 3D verstehen und ein Terrain mit Bäumen und Wasser gestaltenGanze Bauwerke entstehen lassenDie Figur klettern, schwimmen und sogar tauchen lassenEine Fantasie-Kreatur entwerfen und durch Animation lebendig werden lassenStrahlen, Partikel und Sound einbindenKünstliche Intelligenz nutzenEnergiekontrolle und andere Features aufrüstenInstallationshilfe und Fehlerbehebung Zum Download unter www.mitp.de/0923: Die wichtigsten Projekte aus dem Buch Systemvoraussetzungen: Windows 10 oder 11 Hans-Georg Schumann war Informatik- und Mathematiklehrer und ist erfolgreicher Fachbuchautor zu den Themen Programmierung und PC-Anwendungen.
Grafik und Gestaltung
Gestalten Sie jetzt noch besser mit der 4. Auflage des Standardwerks! Der Grafikdesigner Markus Wäger führt Sie in diesem Buch auf über 700 Seiten in die Welt der Gestaltung ein. Er erklärt Ihnen, wie Sie mit Formen, Farben, Typografie und Bildern ein perfektes Ergebnis erreichen – sei es nun eine einfache Visitenkarte oder das Layout für ein ganzes Magazin. Sie erfahren alles zur richtigen Farbwahl, zu Schriftkombinationen, Lesbarkeit, Rastern, Bildqualität und vielem mehr. Ansprechende Beispiele, liebevoll gestaltete Grafiken und genaue Analysen helfen Ihnen dabei, das Gelernte in Ihren eigenen Gestaltungsprojekten anzuwenden. Zahlreiche Tipps und Tricks aus der Praxis, erprobte Arbeitsweisen und Erfahrungswerte des Autors machen das Buch zu einer wahren Fundgrube, die Sie bei Ihrer Arbeit als Nachschlagewerk und Inspirationsquelle nutzen können. Kurzum: Mit diesem Buch an Ihrer Seite sind kreative und professionelle Layouts kein Problem mehr. Das Buch ist speziell auch für angehende Mediengestalter ein unverzichtbarer Begleiter! Aus dem Inhalt: GestaltungsregelnFormenlehre, Proportionen, FormateFarbräume, FarbgestaltungBildgestaltungSchrift und SatzLesetypografieGestaltungsrasterCorporate Design, GestaltungsmedienDTP-Grundlagen, Druckwissen Vorwort ... 14 1. Grundlagen ... 16 1.1 ... Was ist Grafikdesign? ... 17 1.2 ... Gutes Design ... 32 1.3 ... Die wichtigste Gestaltungsregel ist Schauen ... 36 2. Wahrnehmung ... 38 2.1 ... Visuelle Wahrnehmung ... 39 2.2 ... Wahrnehmungsgesetze ... 89 3. Farbe ... 108 3.1 ... Physik der Farben ... 109 3.2 ... Farbkreise ... 128 3.3 ... Eigenschaften der Farben ... 131 3.4 ... Farbsysteme ... 140 3.5 ... Harmonie und Kontrast ... 192 3.6 ... Wirkung und Bedeutung ... 216 4. Form ... 246 4.1 ... Punkt ... 247 4.2 ... Linie ... 251 4.3 ... Fläche ... 257 4.4 ... Gestaltcharakter ... 260 4.5 ... Grundformen ... 269 4.6 ... Proportionen ... 277 5. Schrift ... 290 5.1 ... Grundlagen ... 291 5.2 ... Schriftentwicklung: Antike bis Mittelalter ... 306 5.3 ... Die Entwicklung der Antiqua ... 320 5.4 ... Entwicklung im 19. Jahrhundert ... 336 5.5 ... Entwicklung im 20. Jahrhundert ... 343 5.6 ... Schrift im 21. Jahrhundert ... 383 5.7 ... Klassifizierung der Schriftformen ... 393 5.8 ... Eigenschaften und Charakter ... 402 5.9 ... Zeichen und Zeichensätze ... 432 6. Lesetypografie ... 450 6.1 ... Lesearten ... 452 6.2 ... Makrotypografie ... 471 6.3 ... Mikrotypografie ... 502 7. Gestaltungsraster ... 510 7.1 ... Raster im Design von Grafiken, Logos und Symbolen ... 511 7.2 ... Rastersysteme zur Layoutgestaltung ... 514 7.3 ... Raster im UI/UX-Design ... 538 8. Layoutdesign ... 552 8.1 ... Layout ... 554 8.2 ... Usability ... 555 8.3 ... Gestaltungsprinzipien ... 564 8.4 ... Bildkomposition ... 596 9. Kommunikationsdesign ... 608 9.1 ... Idee und Konzeption ... 610 9.2 ... Visuelle Kommunikation ... 629 9.3 ... Logogramm ... 651 9.4 ... Bilder ... 658 9.5 ... Storytelling ... 665 10. Corporate Design ... 682 10.1 ... Corporate Identity (CI) ... 683 10.2 ... Marke und Branding ... 691 10.3 ... Kernelemente des Corporate Designs ... 701 Index ... 752
FreeCAD - Einstieg und Praxis (2. Auflg.)
FreeCAD ist ein parametrisches 3D-Konstruktionsprogramm, das in der aktuellen Version mit deutlich veränderter Oberfläche aufwartet. Mit dieser professionellen CAD-Software erstellen Sie geometrische 2D- und 3D-Modelle sowie technische Zeichnungen.Auch architektonische Anwendungen lassen sich damit anfertigen. Um Sie mit dem großen Funktionsumfang des Programms vertraut zu machen, werden die wichtigsten Arbeitsbereiche ausführlich vorgestellt. Anhand zahlreicher Beispiele und Übungsaufgaben wird viel Praxiswissen vermittelt: Sie erstellen Modelle für den 3D-Druck, gestalten Gebäude, nutzen Funktionen für die CNC-Steuerung sowie die FEM-Berechnung.Aus dem Inhalt Ein erster Rundgang durch FreeCAD Eine Schachfigur modellieren: der Turm Alles über Skizzen und Randbedingungen Der Arbeitsbereich Part Design Technische Zeichnungen im Arbeitsbereich TechDraw erstellen Variantenkonstruktion: der Arbeitsbereich Spreadsheet Baugruppen erstellen FreeCAD für die Architektur: der Arbeitsbereich BIM Zeichnungen von Architektur-Modellen CNC-Programme erzeugen: der Arbeitsbereich CAM Festigkeit von Bauteilen berechnen: der Arbeitsbereich FEM Weitere Add-ons: ein Überblick
Vorgehensmuster für Softwarearchitektur (4. Auflg.)
Vorgehensmuster für SoftwarearchitekturEgal ob »Agile«, »Lean«, »Cloud« oder »Flow« – moderne Vorhaben in der Softwareentwicklung arbeiten dynamisch, hoch flexibel und ergebnisorientiert. Auch Softwarearchitektur kann zielorientiert und pragmatisch entstehen, durch Entwicklungsteams gemeinsam getrieben sein oder »Just-in-time« festgelegt werden. Einen Konflikt zwischen Dynamik und Architektur gibt es nicht. Alles, was es braucht, sind zeitgemäße Praktiken und das richtige Mindset. Dieses Buch beinhaltet kein weiteres Vorgehensmodell für die Softwareentwicklung. Stattdessen werden leichtgewichtige Bausteine guter Architekturarbeit vorgestellt, die problemorientiert eingesetzt werden können, um das eigene Vorhaben zu verbessern.Das ermöglicht ein schrittweises Lernen und Adaptieren neuer Praktiken, ohne große Einstiegshürde. In der bewährten Struktur von Mustern wird ein übliches Problem aus dem Alltag von Entwicklungsvorhaben geschildert und mit einer methodischen Lösung versehen. Die Lösungen referenzieren aufeinander, sind kombinierbar und ergeben insgesamt das Bild einer neuen Architekturdisziplin. Aus dem InhalAus dem InhaltRisikogetriebene SoftwarearchitekturDie Rolle Architecture OwnerArchitekturarbeit in BacklogsArchitekturvisionWalking SkeletonArchitekturprinzipienDer Pfad des geringsten Widerstands2-Speed-ArchitectureArchitektur-RadarNFR-Tests und Chaos EngineeringArchitektur-CommunitiesArchitektur-KataÜber den AutorStefan Toth ist Gesellschafter und Geschäftsführer der embarc GmbH. Er unterstützt Entwicklungsvorhaben und -organisationen als Softwarearchitekt, agiler Coach und Berater. Die Verzahnung von technischen, methodischen und organisatorischen Themen steht dabei oft im Zentrum seiner Arbeit.
Design und Management von IT-Services
Handbuch für den qualitätsgesicherten Aufbau des IT-Servicemanagements im UnternehmenUnterstützung für IT-Unternehmen, die sich serviceorienterit und marktfähig aufstellen oder weiterentwickeln wollenZahlreiche Praxistipps, Checklisten und Templates für die sofortige Umsetzung im IT-BetriebInterviews mit IT-Service-Managern und CIOsDieses Handbuch bietet einen praxisorientierten Leitfaden für den Aufbau des IT-Servicemanagements oder die Optimierung eines ganzheitlichen Servicebetriebs im Unternehmen. Dabei wird mit »DAMOS« (Design And Management Of Services) ein Konzept zur Einführung, Steuerung, Überwachung und Weiterentwicklung von qualitätsgesicherten Services im Unternehmen vorgestellt. Mit den beschriebenen Praktiken können bestehende Services oder Strukturen (z.B. ein Servicekatalog) evaluiert, verglichen und auf Korrektheit überprüft werden. Konzeptionsfehler werden so frühzeitig vor der Implementierung erkannt und vermieden, bevor sie zu einem späteren Zeitpunkt hohe Kosten verursachen.Auf diese Weise ist es möglich, ein ITIL-zertifizierbares Servicemanagement aufzubauen, ohne über langjährige Service-Expertise oder umfassende ITIL-Kenntnisse verfügen zu müssen. Sowohl für Einsteiger als auch für Experten bietet das Buch eine ideale Unterstützung zu ITIL. Denn DAMOS liefert konkrete Handlungsanweisungen vom Service Backlog über SLAs und Service Value Chains bis hin zum Service Value System. Die Struktur des Buches spiegelt eine systematische Herangehensweise wider, die dabei hilft, sowohl theoretische als auch praktische Kenntnisse effektiv zu erwerben und anzuwenden.Über den Autor:Dr. Robert Scholderer ist Principal Service Level Manager und Geschäftsführer der Scholderer GmbH und seit über 28 Jahren als IT-Consultant für Konzerne tätig. Er erstellt, verwaltet und bewertet SLAs und IT-Servicekataloge für Kunden und deren Lieferanten. In seiner beruflichen Laufbahn hat er fundierte Erfahrungen in allen Feldern dieses Buches gesammelt. Robert Scholderer ist bei allen namhaften Schulungsunternehmen als Trainer zu den Themen IT-Servicekatalog, Service Level Agreements, Service Owner, Servicedesk und Self-Service-Portal tätig.Im Jahr 2001 meldete er ein Verfahren und eine Anordnung zur Qualitätsüberwachung von IT-Services zum Patent an, bei dem die in einem SLA festgeschriebenen Leistungen mit Sollvereinbarungen und Schadensersatzangaben verknüpft und abgespeichert werden und die so gewonnenen Daten zur kundenspezifischen Steuerung von Servicesimulatoren dienen. Im Jahr 2018 hat er mit ITSL (IT Standard Service Language) eine neue Standardsprache für IT-Infrastruktur und SLAs als Alternative zu ITIL auf den Markt gebracht. 2019 ging der erste Prototyp seines Service-Design-Tools SEAMLESS an den Start.Von 2009 bis 2013 war Robert Scholderer Mitglied des Beirats der central europe computer measurement group (cecmg) und wurde 2021 zum ersten Vorsitzenden des itSMF in Österreich gewählt. Für sein unternehmerisches Wirken und die von ihm für SLA entwickelten Modelle wie SOUSIS oder den IT-Servicekatalog CECAR wurde er mehrfach mit Innovationspreisen ausgezeichnet.
systemd for Linux SysAdmins
Explore the world of systemd—yes, all lower-case, even at the beginning of a sentence— which is the modern replacement for init and SystemV init scripts. It is also much more. It can evoke a wide range of reactions from SysAdmins and others responsible for keeping Linux systems up and running. The fact that systemd is taking over so many tasks in modern Linux systems has engendered push-back and discord among certain groups of developers and SysAdmins.You will learn systemd’s strengths and weaknesses, and why there’s no truth in the myth that systemd is a monolithic monstrosity.Learn how systemd is the mother of all processes, and is responsible for bringing the Linux host up to a state in which productive work can be done. You’ll learn about the functions assumed by systemd, which is far more extensive than the old init program, and how it manages many aspects of a running Linux host, including:* Mounting filesystems* Managing hardware* Creating new systemd services and understanding existing ones* Creating timers that trigger system maintenance events* Starting and managing the system services that are required to have a productive Linux host* Using the systemd journal to access critical performance and problem solving information.* Why the systemd plan to take over the world is actually a good thing_systemd for Linux SysAdmins_ is your one-stop shop, giving you everythiing you need to get started and utilize this software suite for Linux operatiing systems.YOU WILL LEARN:* How to use systemd, what it is, and what it does* To manage each of the major functional components of systemd and learn from real-world examples to illustrate their typical usage by SysAdmins* Pragmatic work-arounds, hints and tricks to minimize issues to ensure you have greater systemd functionalityTHIS BOOK IS FOR:Linux system administrators (SysAdmins) who need to or are already in the process of switching from SystemV to systemd. It’s also intended for SysAdmins with more systemd experience but who want to improve their knowledge and skills with systemd.DAVID BOTH, SCSA, RHCT, RHCE is an Open Source Software and Linux advocate, trainer, writer, and speaker. He has been working with Linux and Open Source Software since 1996 and has been working with computers for over 50 years. He is a strong proponent of and evangelist for the "Linux Philosophy for System Administrators."He has taught RHCE classes for Red Hat and has worked at MCI Worldcom, Cisco, and the State of North Carolina. He has taught classes on Linux ranging from Lunch'n'Learns to full five day courses.David has written articles for magazines including, Linux Magazine, Linux Journal, and OS/2 Magazine back when there was such a thing. David wrote for Opensource.com (OSDC) before it was closed by Red Hat. He now writes for Both.org while working with a core group of OSDC alumni to recreate the community that made OSDC so successful.David has published eight books with Apress, “_The Linux Philosophy for SysAdmins_,” August 2018, and a three volume self-study training course, “_Using and Administering Linux — From Zero to SysAdmin_,” released in December, 2019, and "_Linux for the Small Business,_" released in late 2022. The second edition of “_Using and Administering Linux — From Zero to SysAdmin_,” was released in 2023.He has found some interesting and unusual ways of problem solving, including sitting on one computer on which he was working.Chapter 1: Learning to Love systemd.- Chapter 2: Linux Boot and Startup.- Chapter 3: Understanding Linux startup with systemd.-Chapter 4: How I Manage startup Using system.- Chapter 5: Using the systemctl Command to Manage systemd Units.- Chapter 6: Control Your Computer Time and Date with system.- Chapter 7: Use systemd Timers.- Chapter 8: Analyzing systemd Calendar and Timespans.- Chapter 9: firewalld.- Chapter 10: Managing Resources with cgroups in system.- Chapter 11: Using systemd-Resolved Name Service.- Chapter 12: Replacing rc.local in systemd Linux Systems.- Chapter 13: Using systemd Journals to Troubleshoot Transient Problems.- Chapter 14: Analyze Linux startup Performance.- Chapter 15: How to use systemd as a Troubleshooting Tool.- Chapter 16: Why I Support the systemd Plan to Take over the World.
Artificial Intelligence All-in-One For Dummies
A COMPREHENSIVE ROADMAP TO USING AI IN YOUR CAREER AND IN YOUR LIFEArtificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products. INSIDE THE BOOK:* How to prompt AI platforms like ChatGPT and Copilot while avoiding “hallucinations” and other bugs* Strategies for adding artificial intelligence tools to your company's existing workflows to improve efficiency and generate new opportunities* Techniques to improve your programming capabilities with AI or create new AI-powered toolsPerfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life. This collection gathers the work of top authors of AI topics in the For Dummies series including CHRIS MINNICK, author of Coding with AI For Dummies;JOHN PAUL MUELLER, LUCA MASSARON and STEPHANIE DIAMOND, co-authors of Artificial Intelligence For Dummies, 3rd Edition; PAM BAKER, author of ChatGPT For Dummies;SHIV SINGH, author of Marketing with AI For Dummies;DANIEL STANTON, author of Project Management with AI For Dummies;PAUL MLADJENOVIC, author of AI Investing For Dummies; SHERYL LINDSELL-ROBERTS, author of Business Writing with AI For Dummies; and JEFFREY ALLAN, co-author of Writing AI Prompts For Dummies.